Unleash Your Data Science Skills at AbbVie: Apply for the 2024 Computational Toxicology Internship Now!

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on Twitter, Facebook, Instagram, YouTube, and LinkedIn.

Envision spending your summer working with energetic colleagues and inspirational leaders, all while gaining world-class experience in one of the most dynamic organizations in the pharmaceutical industry. This is a reality for AbbVie’s Experiential Interns.

The Computational Toxicology group functions to develop, refine, and bring awareness to in-silico methods that may help predict and understand safety for small and large molecules. The Computational Toxicology Intern will gain exposure to a wide range of safety-related datasets ranging from biology, pharmacology, toxicology, and chemistry to help with predictive modeling, data engineering, and data visualization.

Key responsibilities include:

• Collaborate with experts to independently curate, harmonize, and interpret internal safety findings across historical data to assist in data convergence.
• Implement strategies to better structure and utilize safety data in a meaningful manner to address scientific inquiry of drug safety challenges.
• Integrate state-of-the-art bioinformatics and AI/ML pipelines into current computational toxicology workflows and user-friendly interfaces.
• Collaborate with research and bioinformatics scientists to conceive informatics analysis strategy, leveraging advanced machine learning/AI algorithms, to support discovery and pre-clinical safety studies.

Minimum Qualifications

• Currently enrolled in university, pursuing a Master’s in computer science, Data Science, Statistics, or other related field.
• Must be enrolled in university for at least one semester following the internship.
• Expected graduation date between 04/2025 and 04/2026.
• Must have experience with programming and data visualization and/or databasing.
• Proficient in a variety of coding languages, including Python.
• Strong problem-solving skills including critical and analytical thinking.
• Must be able to clearly communicate ideas and findings to both technical and non-technical audiences.

Preferred Qualifications

Expected graduation date between December 2024 – July 202.